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Richard Y. Zhang

Richard Y. Zhang
Richard Y. Zhang

Richard Y. Zhang

Assistant Professor
  • Electrical and Computer Engineering
4056 ECE Building

For more information

Education

  • Ph.D, Electrical Engineering & Computer Science, MIT, 2017

Academic Positions

  • Postdoc, Industrial Engineering & Operations Research, UC Berkeley, 2017-2019

Research Areas

Research Topics

Selected Articles in Journals

Articles in Conference Proceedings

  • R. Y. Zhang, C. Josz, S. Sojoudi, and J. Lavaei, How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018, Dec 3-8, 2018.
  • C. Josz, Y. Ouyang, R. Y. Zhang, J. Lavaei, and S. Sojoudi, A Theory on the Absence of Spurious Solutions for Nonconvex and Nonsmooth Optimization. NeurIPS 2018, Dec 3-8, 2018.
  • R. Y. Zhang, S. Fattahi, and S. Sojoudi, Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion. ICML 2018, Jul 10-15, 2018.
  • R. Y. Zhang and J. Lavaei, Sparse Semidefinite Programs with Near-Linear Time Complexity. CDC 2018, Dec 17-19, 2018.
  • Y. Ouyang, R. Y. Zhang, J. Lavaei, and P. Varaiya, Conic Approximation with Provable Guarantee for Traffic Signal Offset Optimization. CDC 2018, Dec 17-19, 2018.
  • R. Y. Zhang and J. Lavaei, Efficient Algorithm for Large-and-Sparse LMI Feasibility Problems. CDC 2018, Dec 17-19, 2018.
  • R. Y. Zhang and J. Lavaei, Modified Interior-Point Method for Large-and-Sparse Low-Rank Semidefinite Programs. CDC 2017, Dec 12-15, 2017.

Courses Taught

  • ECE 330 - Power Ckts & Electromechanics
  • ECE 530 - Large-Scale System Analysis